File size: 15,043 Bytes
7a1ad33 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 | /**
* @license
* Copyright 2025 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import { describe, it, expect, beforeEach } from 'vitest';
import {
HookTranslatorGenAIv1,
defaultHookTranslator,
type LLMRequest,
type LLMResponse,
type HookToolConfig,
} from './hookTranslator.js';
import type {
GenerateContentParameters,
GenerateContentResponse,
ToolConfig,
ContentListUnion,
} from '@google/genai';
describe('HookTranslator', () => {
let translator: HookTranslatorGenAIv1;
beforeEach(() => {
translator = new HookTranslatorGenAIv1();
});
describe('defaultHookTranslator', () => {
it('should be an instance of HookTranslatorGenAIv1', () => {
expect(defaultHookTranslator).toBeInstanceOf(HookTranslatorGenAIv1);
});
});
describe('LLM Request Translation', () => {
it('should convert SDK request to hook format', () => {
const sdkRequest: GenerateContentParameters = {
model: 'gemini-1.5-flash',
contents: [
{
role: 'user',
parts: [{ text: 'Hello world' }],
},
],
config: {
temperature: 0.7,
maxOutputTokens: 1000,
},
} as unknown as GenerateContentParameters;
const hookRequest = translator.toHookLLMRequest(sdkRequest);
expect(hookRequest).toEqual({
model: 'gemini-1.5-flash',
messages: [
{
role: 'user',
content: 'Hello world',
},
],
config: {
temperature: 0.7,
maxOutputTokens: 1000,
topP: undefined,
topK: undefined,
},
});
});
it('should handle string contents', () => {
const sdkRequest: GenerateContentParameters = {
model: 'gemini-1.5-flash',
contents: ['Simple string message'],
} as unknown as GenerateContentParameters;
const hookRequest = translator.toHookLLMRequest(sdkRequest);
expect(hookRequest.messages).toEqual([
{
role: 'user',
content: 'Simple string message',
},
]);
});
it('should handle conversion errors gracefully', () => {
const sdkRequest: GenerateContentParameters = {
model: 'gemini-1.5-flash',
contents: [null as unknown as ContentListUnion], // Invalid content
} as unknown as GenerateContentParameters;
const hookRequest = translator.toHookLLMRequest(sdkRequest);
// When contents are invalid, the translator skips them and returns empty messages
expect(hookRequest.messages).toEqual([]);
expect(hookRequest.model).toBe('gemini-1.5-flash');
});
it('should convert hook request back to SDK format', () => {
const hookRequest: LLMRequest = {
model: 'gemini-1.5-flash',
messages: [
{
role: 'user',
content: 'Hello world',
},
],
config: {
temperature: 0.7,
maxOutputTokens: 1000,
},
};
const sdkRequest = translator.fromHookLLMRequest(hookRequest);
expect(sdkRequest.model).toBe('gemini-1.5-flash');
expect(sdkRequest.contents).toEqual([
{
role: 'user',
parts: [{ text: 'Hello world' }],
},
]);
});
it('should apply model override when hook returns only model field', () => {
const baseRequest: GenerateContentParameters = {
model: 'gemini-2.5-flash-lite',
contents: [
{
role: 'user',
parts: [{ text: 'Hello' }],
},
],
} as unknown as GenerateContentParameters;
// Simulate a hook that only overrides the model — no messages field
const hookRequest = {
model: 'gemini-2.5-flash',
} as unknown as LLMRequest;
const sdkRequest = translator.fromHookLLMRequest(
hookRequest,
baseRequest,
);
// Model should be overridden
expect(sdkRequest.model).toBe('gemini-2.5-flash');
// Original conversation contents should be preserved
expect(sdkRequest.contents).toEqual(baseRequest.contents);
});
it('should preserve base request contents when hook messages is undefined', () => {
const baseRequest: GenerateContentParameters = {
model: 'gemini-1.5-flash',
contents: [
{ role: 'user', parts: [{ text: 'original message' }] },
{ role: 'model', parts: [{ text: 'original reply' }] },
],
} as unknown as GenerateContentParameters;
const hookRequest = {
model: 'gemini-1.5-pro',
// messages intentionally omitted
} as unknown as LLMRequest;
const sdkRequest = translator.fromHookLLMRequest(
hookRequest,
baseRequest,
);
expect(sdkRequest.model).toBe('gemini-1.5-pro');
expect(sdkRequest.contents).toEqual(baseRequest.contents);
});
});
// Regression tests for https://github.com/google-gemini/gemini-cli/issues/25558
// BeforeModel hooks that modify text in conversations containing tool calls
// were destroying functionCall/functionResponse parts because
// fromHookLLMRequest rebuilt contents text-only. The fix merges hook text
// edits back into baseRequest.contents in place, preserving non-text parts.
describe('fromHookLLMRequest with baseRequest (non-text part preservation)', () => {
it('should preserve functionCall parts when merging hook text back', () => {
const baseRequest = {
model: 'gemini-2.0-flash',
contents: [
{
role: 'user',
parts: [{ text: 'Hello' }],
},
{
role: 'model',
parts: [
{ text: 'Let me check that.' },
{ functionCall: { name: 'search', args: { q: 'test' } } },
],
},
{
role: 'user',
parts: [
{
functionResponse: {
name: 'search',
response: { results: [] },
},
},
],
},
{
role: 'model',
parts: [{ text: 'No results found.' }],
},
],
} as unknown as GenerateContentParameters;
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [
{ role: 'user', content: 'Hello [MODIFIED]' },
{ role: 'model', content: 'Let me check that.' },
// contents[2] (functionResponse only) was skipped by toHookLLMRequest
{ role: 'model', content: 'No results found.' },
],
};
const result = translator.fromHookLLMRequest(hookRequest, baseRequest);
const contents = result.contents as Array<{
role: string;
parts: Array<Record<string, unknown>>;
}>;
expect(contents).toHaveLength(4);
// First content: text updated
expect(contents[0].parts[0]['text']).toBe('Hello [MODIFIED]');
// Second content: text updated AND functionCall preserved
expect(contents[1].parts).toHaveLength(2);
expect(contents[1].parts[0]['text']).toBe('Let me check that.');
expect(contents[1].parts[1]['functionCall']).toBeDefined();
// Third content: functionResponse preserved as-is (was skipped)
expect(contents[2].parts[0]['functionResponse']).toBeDefined();
expect(contents[2].parts).toHaveLength(1);
// Fourth content: text updated
expect(contents[3].parts[0]['text']).toBe('No results found.');
});
it('should handle text-only entries interleaved with function-only entries', () => {
const baseRequest = {
model: 'gemini-2.0-flash',
contents: [
{ role: 'user', parts: [{ text: 'Q1' }] },
{
role: 'model',
parts: [{ functionCall: { name: 'tool1', args: {} } }],
},
{
role: 'user',
parts: [
{
functionResponse: {
name: 'tool1',
response: { ok: true },
},
},
],
},
{ role: 'model', parts: [{ text: 'Answer' }] },
],
} as unknown as GenerateContentParameters;
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [
{ role: 'user', content: 'Q1-modified' },
// contents[1] and [2] skipped (no text)
{ role: 'model', content: 'Answer-modified' },
],
};
const result = translator.fromHookLLMRequest(hookRequest, baseRequest);
const contents = result.contents as Array<{
role: string;
parts: Array<Record<string, unknown>>;
}>;
expect(contents).toHaveLength(4);
expect(contents[0].parts[0]['text']).toBe('Q1-modified');
expect(contents[1].parts[0]['functionCall']).toBeDefined();
expect(contents[2].parts[0]['functionResponse']).toBeDefined();
expect(contents[3].parts[0]['text']).toBe('Answer-modified');
});
it('should collapse multiple text parts and preserve non-text parts', () => {
const baseRequest = {
model: 'gemini-2.0-flash',
contents: [
{
role: 'model',
parts: [
{ text: 'I will search' },
{ text: ' for you.' },
{ functionCall: { name: 'search', args: {} } },
],
},
],
} as unknown as GenerateContentParameters;
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [
{ role: 'model', content: 'I will search for you. [BLINDED]' },
],
};
const result = translator.fromHookLLMRequest(hookRequest, baseRequest);
const contents = result.contents as Array<{
role: string;
parts: Array<Record<string, unknown>>;
}>;
expect(contents).toHaveLength(1);
const parts = contents[0].parts;
// Multiple text parts collapsed to one, non-text preserved
expect(parts[0]['text']).toBe('I will search for you. [BLINDED]');
expect(parts[1]['functionCall']).toBeDefined();
expect(parts).toHaveLength(2);
});
it('should fall back to text-only when baseRequest is undefined', () => {
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [{ role: 'user', content: 'Hello' }],
};
const result = translator.fromHookLLMRequest(hookRequest);
expect(result.contents).toEqual([
{ role: 'user', parts: [{ text: 'Hello' }] },
]);
});
it('should fall back to text-only when baseRequest has no contents', () => {
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [{ role: 'user', content: 'Hello' }],
};
const baseRequest = {
model: 'gemini-2.0-flash',
} as GenerateContentParameters;
const result = translator.fromHookLLMRequest(hookRequest, baseRequest);
expect(result.contents).toEqual([
{ role: 'user', parts: [{ text: 'Hello' }] },
]);
});
it('should append extra hook messages beyond base contents', () => {
const baseRequest = {
model: 'gemini-2.0-flash',
contents: [{ role: 'user', parts: [{ text: 'Hello' }] }],
} as unknown as GenerateContentParameters;
const hookRequest: LLMRequest = {
model: 'gemini-2.0-flash',
messages: [
{ role: 'user', content: 'Hello' },
{ role: 'model', content: 'Extra message added by hook' },
],
};
const result = translator.fromHookLLMRequest(hookRequest, baseRequest);
const contents = result.contents as Array<{
role: string;
parts: Array<Record<string, unknown>>;
}>;
expect(contents).toHaveLength(2);
expect(contents[1].parts[0]['text']).toBe('Extra message added by hook');
});
});
describe('LLM Response Translation', () => {
it('should convert SDK response to hook format', () => {
const sdkResponse: GenerateContentResponse = {
text: 'Hello response',
candidates: [
{
content: {
role: 'model',
parts: [{ text: 'Hello response' }],
},
finishReason: 'STOP',
index: 0,
},
],
usageMetadata: {
promptTokenCount: 10,
candidatesTokenCount: 20,
totalTokenCount: 30,
},
} as unknown as GenerateContentResponse;
const hookResponse = translator.toHookLLMResponse(sdkResponse);
expect(hookResponse).toEqual({
text: 'Hello response',
candidates: [
{
content: {
role: 'model',
parts: ['Hello response'],
},
finishReason: 'STOP',
index: 0,
safetyRatings: undefined,
},
],
usageMetadata: {
promptTokenCount: 10,
candidatesTokenCount: 20,
totalTokenCount: 30,
},
});
});
it('should convert hook response back to SDK format', () => {
const hookResponse: LLMResponse = {
text: 'Hello response',
candidates: [
{
content: {
role: 'model',
parts: ['Hello response'],
},
finishReason: 'STOP',
},
],
};
const sdkResponse = translator.fromHookLLMResponse(hookResponse);
expect(sdkResponse.text).toBe('Hello response');
expect(sdkResponse.candidates).toHaveLength(1);
expect(sdkResponse.candidates?.[0]?.content?.parts?.[0]?.text).toBe(
'Hello response',
);
});
});
describe('Tool Config Translation', () => {
it('should convert SDK tool config to hook format', () => {
const sdkToolConfig = {
functionCallingConfig: {
mode: 'ANY',
allowedFunctionNames: ['tool1', 'tool2'],
},
} as unknown as ToolConfig;
const hookToolConfig = translator.toHookToolConfig(sdkToolConfig);
expect(hookToolConfig).toEqual({
mode: 'ANY',
allowedFunctionNames: ['tool1', 'tool2'],
});
});
it('should convert hook tool config back to SDK format', () => {
const hookToolConfig: HookToolConfig = {
mode: 'AUTO',
allowedFunctionNames: ['tool1', 'tool2'],
};
const sdkToolConfig = translator.fromHookToolConfig(hookToolConfig);
expect(sdkToolConfig.functionCallingConfig).toEqual({
mode: 'AUTO',
allowedFunctionNames: ['tool1', 'tool2'],
});
});
it('should handle undefined tool config', () => {
const sdkToolConfig = {} as ToolConfig;
const hookToolConfig = translator.toHookToolConfig(sdkToolConfig);
expect(hookToolConfig).toEqual({
mode: undefined,
allowedFunctionNames: undefined,
});
});
});
});
|